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Based on the conception of storing by category as well as taking the cost of storing, fetching and place occupation under consideration, this paper denotes a Artificial Bee Colony inspired Particle Swarm Optimization algorithm intending to figure out the problem of storage position allocation in the warehouse schedule. a value called COI (Cube-per-order index) is introduced in the allocation procedure...
In this paper, considering both of access efficiency, order-picking and storage-space cost, a Evolutionary Algorithm Inspired Particle Swarm Optimization (EA-PSO) Algorithm is developed to solve the Warehouse Allocation Problem. Based on the Warehouse Storage Policy, a Class-based storage method is proposed. Moreover, during the procedures goods are ordered by their cube per order index (COI), and...
Effective scheduling has a significant effect on efficiency in container terminals. This paper proposes a model of tugboat scheduling and applies an improved Discrete Chaos Particle Swarm Optimization (DCPSO) algorithm to solve this problem. DCPSO orders the position vector of particles to get a discrete scheduling solution. Moreover, chaos search can get all the states in the search space by the...
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